CUSUM-based Joint Jammer Detection and Localization

The goal of this paper is to detect a change in observations quickly and more importantly its application to localization using time difference. The change point detection problem with sequential observations is called sequential detection or quickest detection. In the assumed model, distributed sen...

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Bibliographic Details
Published in2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) pp. 1 - 5
Main Authors Choi, Jeongae, Mughal, Muhammad Ozair, Choi, Youngjune, Kim, Donghyun, Lopez-Salcedo, Jose A., Kim, Sunwoo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2018
Subjects
CUSUM
Dynamic spectrum access
Jamming
Localization
Quickest detection
Receivers
Sensor fusion
TDOA
Transmitters
Wireless sensor network
Wireless sensor networks
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Summary:The goal of this paper is to detect a change in observations quickly and more importantly its application to localization using time difference. The change point detection problem with sequential observations is called sequential detection or quickest detection. In the assumed model, distributed sensors are considered to be monitoring a system in which an abrupt change caused by a jamming signal occurs at some unknown time. We propose a framework using the quickest detection with cumulative sum (CUSUM) test which is well-known to be optimal for a non-Bayesian statistical change-point detection formulation. At each time, the distributed sensors decide about the presence or absence of any jamming signal. Once the sensors get a decision and transmit it to fusion center, then fusion center localizes the jammer. In the end, the results are evaluated using computer simulations.
DOI:10.1109/DySPAN.2018.8610497